Sensor Technology in Navigation and Localization Applications
LEVEL: INTERMEDIATE HRDF: CLAIMABLE
Ten (10) CPD Hours approved by MBOT
TRAINERS:
Dr. Kishore Bingi, Dr. Madiah Binti Omar & Associate Professor Ir. Dr. Rosdiazli Ibrahim
25 - 26 SEPTEMBER 2024
MS TEAMS
9.00AM - 5.00PM
RM 2,000 FOR PROFESSIONALS
10% Discount for Early Bird (until 25 August 2024) / Group / Students
CONTENT SUMMARY
INTRODUCTION
The utilization of sensor technology in navigation and localization applications has witnessed remarkable advancements, revolutionizing industries ranging from autonomous vehicles to robotics and beyond. This executive summary provides an overview of the pivotal role played by sensor technology in enhancing accuracy, reliability, and safety within navigation and localization systems. Sensors, such as Global Navigation Satellite Systems (GNSS), Inertial Measurement Units (IMUs), LiDAR, and computer vision modules, have enabled unprecedented levels of spatial awareness, enabling precise real-time positioning and orientation determination.
These sensors' integration has culminated in the development of highly efficient and robust navigation solutions capable of operating in diverse and challenging environments. The fusion of sensor data through sensor fusion algorithms has mitigated individual sensor limitations and provided enhanced performance, resilience against signal disruptions, and improved coverage. However, the continued evolution of sensor technology in this domain hinges upon addressing challenges like signal interference, multi-path effects, and environmental variations. As industries continue to leverage sensor technology for navigation and localization, ongoing research and development will be pivotal in realizing even more sophisticated, versatile, and dependable solutions for the future. Participants of this course will gain a comprehensive understanding of sensor technology's pivotal role in navigation and localization applications. They will acquire insights into the fundamental principles behind various sensor types, including GNSS, IMUs, LiDAR, and computer vision, and their integration for accurate positioning and orientation determination. Through real-world case studies and practical examples, participants will learn how sensor fusion techniques enhance system reliability, performance, and resilience in challenging environments. Additionally, participants will explore the latest advancements, trends, and challenges in sensor technology, equipping them with the knowledge and tools to contribute to the ongoing innovation in navigation and localization systems across industries such as autonomous vehicles, robotics, and more.
Global Sensors and Inertial Navigation Systems
- Resistive sensors
- Tactile sensors
- Infrared sensors
- Ultrasonic Distance Sensor
- Inertial Sensors
- Orientation Sensors
- Laser range sensors
- Vision
- Global Positioning System
Introduction to Global Navigation Satellite Systems
- GPS, GLONASS, Galileo, BeiDou, and other satellite constellations
- Positioning principles and signal processing
- GNSS receiver architectures and components
- GNSS augmentation systems (WAAS, EGNOS)
- Differential GPS (DGPS) and Real-Time Kinematic (RTK) techniques
Sensor Fusion and Data Integration
- Sensor fusion techniques (Extended Kalman Filter, Particle Filter)
- Sensor data alignment and calibration
- Data fusion for improved accuracy and robustness
- Multisensor integration challenges and solutions
Mapping techniques
- Simultaneous Localization and Mapping (SLAM)
- Point Cloud Processing
- Fusion of Sensor Data for Mapping
- Feature Extraction and Matching
- Topological Mapping
- Semantic Mapping
Sensor Calibration and Error Mitigation
- Calibration techniques for correcting sensor biases and inaccuracies
- Sensor error modeling and compensation
- Adaptive calibration methods
Real-world Applications
- Autonomous vehicles and drones
- Indoor navigation systems (malls, airports)
- Augmented reality (AR) and virtual reality (VR) applications
- Robotics and industrial automation
Hands-on examples from applications/fields
- Case Study 1
- Case Study 2
OBJECTIVES
Upon completion of this course, participants will be able to:
- Providing a foundation for understanding how sensor data contributes to accurate positioning and orientation determination.
- By performing hands-on exercises and case studies, participants will gain proficiency in sensor data integration, noise reduction, and error correction, enabling them to design more robust and reliable navigation and localization solutions.
- Applying topics such as signal interference, multi-path effects, and environmental variations, participants will develop a strategic understanding of the hurdles that must be addressed to continue pushing the boundaries of accurate and dependable navigation systems.
WHO SHOULD ATTEND?
- Anyone interested in sensors technology with its applications.
- Managers and Executives
- Engineers, Researchers & Consultants
- Start-ups Company
- Junior/Senior Lecturers
OUR TRAINERS
1. Dr.
Kishore Bingi (UTP)
Kishore Bingi is a lecturer at the Electrical and Electronic Engineering Department and member of the Center for Systems Engineering at Universiti Teknologi PETRONAS (UTP). He obtained his Master’s degree from the National Institute of Technology Calicut, India and his PhD from UTP, Malaysia. He worked as an Assistant Systems Engineer at TATA Consultancy Services Limited, India. He also worked as Research Scientist and Post-Doctoral Researcher at the Universiti Teknologi PETRONAS, Malaysia. He served as an Assistant Professor at the Process Control Laboratory, School of Electrical Engineering, Vellore Institute of Technology, India. His research area is developing fractional-order neural networks, including fractional-order systems and controllers, chaos prediction and forecasting, advanced hybrid optimization techniques, Artificial Intelligence and Systems Engineering. He is an IEEE and IET Member and a registered Chartered Engineer (CEng) from Engineering Council UK. He currently serves as an Editorial Board Member/Academic Editor/Guest Editor for the International Journal of Applied Mathematics and Computer Science, Mathematical Problems in Engineering, Journal of Control Science and Engineering, and Fractal and Fractional. He has published over 50 articles in international journals and conference proceedings and has delivered over 15 lectures at international conferences, as well as four books and 6 book chapters.
2. Dr.
Madiah Omar (UTP)
MADIAH OMAR is a lecturer under Chemical Engineering Department at Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia. She is a classy IR4.0 academician with over 6 years of experience in Artificial Intelligence (AI), Modelling, Predictive Maintenance, Digital Twin, Hardware Integration and System Engineering for Rotating Equipment and Chemical Processes Applications. Driven to bridge academia and industry together, her work involves multiple industrial collaborators and experience in machine learning deployment to the field. Her current interest in IR4.0 focuses on transforming brilliant AI ideas into products.
3. Associate Professor Ir. Dr. Rosdiazli Ibrahim (UTP)
ROSDIAZLI B. IBRAHIM is an Associate Professor under Electrical and Electronics Engineering Department at Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia. He is an experienced academician with over 25 years of involvement in Advanced Process Control, Automation, Intelligent Systems, Wireless Technology and Robotics. He secured multiple fundamental research, prototype, and industrial consultancy grants for his work. He owns 5 patents to date, and his current interest includes Predictive Maintenance, Artificial Intelligence and System Engineering for various applications.
REGISTRATION FEES
PROFESSIONALS
MYR2,000*
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
EARLY BIRD/ GROUP/ STUDENT
MYR1,800*
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
OUR LOCATION
Centre for Advanced & Professional Education (CAPE)
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur​
CALL US
+605 - 368 7558 /
+605 - 368 8485
DROP US AN EMAIL
cape@utp.edu.my